Effective two-phase flow in heterogeneous media under temporal pressure fluctuations

2009 ◽  
Vol 45 (5) ◽  
Author(s):  
Diogo Bolster ◽  
Marco Dentz ◽  
Jesus Carrera
SPE Journal ◽  
1999 ◽  
Vol 4 (04) ◽  
pp. 380-388 ◽  
Author(s):  
Zhang Dongxiao ◽  
Hamdi Tchelepi

2000 ◽  
Author(s):  
Bofeng Bai ◽  
Tiejun Wu ◽  
Liejin Guo ◽  
Xuejun Chen

Abstract The fluctuating pressure drop for air-water two-phase flow was measured in the vertical upward section of U-type tube with 0.05m I.D. The feature of the fluctuations was extracted by means of statistical and chaotic theories. The influence of liquid superficial velocity on the features was also investigated. The results showed that the mean, root mean square, fractal dimension of pressure drop fluctuations is function of flow regimes. The fractal dimension can be larger than 1.5 in annular flow with great liquid superficial velocity which is reported for the first time. Furthermore, the present paper provided a feasible solution, which the gas-liquid two-phase flow regimes can be recognized automatically and objectively on basis of the combination of the Counter Propagation Network (CPN) and the FFT coefficients of the differential pressure fluctuations. The recognition possibility is determined by the clustering results of the Kohonen layer in the CPN. With the presented test cases, the possibility can be greater than 90 percent for different liquid phase velocity.


2005 ◽  
Vol 41 (1) ◽  
Author(s):  
Mingjie Chen ◽  
Dongxiao Zhang ◽  
Arturo A. Keller ◽  
Zhiming Lu

Author(s):  
D. Brutin ◽  
L. Tadrist

The present paper deals with two-phase flow pressure drop modeling. This is based on solving the mass, momentum and energy balance equations in steady state conditions. In the two-phase zone, the liquid-vapor is assumed to be a homogeneous fluid. The calculated pressure drop variation is found to be similar to the experimental one when the two–phase flow is steady. In the unsteady state conditions characterized by high amplitude of the pressure fluctuations, the computed pressure drop is found to be different from the experimental mean pressure drop. This difference is all the higher as the pressure fluctuation is high.


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